Alcoa Backtested Returns
Macroaxis considers Alcoa to be not too volatile. Alcoa
secures Sharpe Ratio (or Efficiency) of -0.2263 which signifies that Alcoa
had -0.2263% of return per unit of standard deviation over the last 1 month. Macroaxis philosophy in foreseeing risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. Alcoa Corporation exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Alcoa Mean Deviation
of 1.42 and Risk Adjusted Performance
of (0.046885) to double-check risk estimate we provide. Macroaxis gives Alcoa performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 2.2651 which signifies that as market goes up, the company is expected to significantly outperform it. However, if the market returns are negative, Alcoa will likely underperform.. Even though it is essential to pay attention to Alcoa historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy in foreseeing future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Alcoa Corporation exposes twenty-one different technical indicators which can help you to evaluate its performance. Alcoa has expected return of -0.4525%. Please be advised to confirm Alcoa Mean Deviation, Standard Deviation, Treynor Ratio, as well as the relationship between Downside Deviation and Information Ratio to decide if Alcoa past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.24 |
Alcoa Corporation has weak predictability. Overlapping area represents the amount of predictability between Alcoa time series from October 20, 2017 to November 4, 2017 and November 4, 2017 to November 19, 2017. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alcoa price movement. The serial correlation of 0.24 indicates that over 24.0% of current Alcoa price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.24|
|Spearman Rank Test|| 0.41|
|Price Variance|| 3.64|
|Lagged Price Variance|| 0.8|
Alcoa Lagged Returns